Introducing multiple factor analysis (MFA) as a diagnostic taxonomic tool complementing principal component analysis (PCA) by L. Lee Grismer

“…Using PCA to analyze different data types separately and comparing the results, one can determine which data type and which of their variables (traits/characters) bear most heavily on the differentiation among the operational taxonomic units (OTUs [i.e., populations or species]) and, in some cases, their biological significance. …”
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Impact of physician group practice in the operations, quality of care, and service satisfaction in the non-urgent section of an emergency department in a tertiary hospital in the P... by Ma. Lourdes Concepcion D. Jimenez, Mark B. Carascal, Marlouie D. Figueras, John Q. Wong, Roemer D. Tanghal, Veincent Christian F. Pepito, Rafael Manzanera

“…Results Our analysis of the historical data showed high rates of positive outcomes for non-urgent ED patients in both GP and IC. …”
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Methodology of the Financial Analysis of Digital Companies by V. G. Kogdenko

“…The purpose is to consider the peculiarities of digital companies on the basis of stakeholder theory, resource approach to analysis, as well as to develop the algorithms for analysis and their testing on the data of an existing company.The methodology which comprises 6 stages and takes into account the special features of digital companies is developed. …”
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A selective NH3 gas sensor based on (Ag2O)1-x(SnO2)x nanocomposites thin films at various operating temperatures by Nada Mohammed Abas, Anwar Ali Baqer

“…The prepared films have a direct energy gap between 2.06 and 3.36 eV, according to UV-visible (UV-Vis) spectrometer data. The films have been tested for NH3 sensing under various operating temperatures. …”
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Spatial relationships of road network and cellular coverage based on the Open Geodata: review and user case of Irkutsk Region by E. S. Podolskaia

“…Frequency of their updates depends on the operating companies. The operators then provide the data for the publication to the Russian ministries and regional administrations.…”
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Comparison of batch and continuous operation modes for maxilon red azo dye removal using Chlorella vulgaris microalgae within photobioreactor (PBR) and a dynamic membrane photobior... by Shaghayegh Sadat Farastoon Dashti, Iman Ansari, Mir Mehrshad Emamshoushtari, Mir Mehrshad Emamshoushtari, Salar Helchi, Geoffroy Lessage, Marc Heran, Farshid Pajoum Shariati, Farshid Pajoum Shariati

“…The Elovich model best represented the adsorption kinetics, indicating a heterogeneous surface and decreasing adsorption rate with time. Isotherm data also conformed to the Langmuir model, suggesting monolayer adsorption with a maximum of 8.16 mg g−1 capacity. …”
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Short-term outcome and predictors of post-operative complications following transurethral resection of the prostate among patients with benign prostate hyperplasia in Northern Tanz... by Esther E. Lekei, Jasper S. Mbwambo, Frank Bright, Magreth Elias, Zerra I. Cheyo, Alfred Kien Mteta, Orgeness Mbwambo, Bartholomeo Nicholaus Ngowi

“…Logistic regression was used to identify factors associated with post-operative complications. Results A total of 181 patients underwent TURP; 2 (1.1%) patients had lost to follow-up, and 33 (18.2%) had prostate cancer (PCA) after histology results hence excluded from the analysis. …”
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Voltage Control via Tap-Changing Transformer Using the Holomorphic Embedding Load Flow Method Based on Total Multiplication of Polynomials by Glaucus R. S. Lima, Edimar J. Oliveira, Leonardo W. Oliveira

“…Representative wind generation scenarios produced by applying the modified Iterative Self-Organizing Data Analysis Technique Algorithm are used, considering annual historical generation data. …”
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Large-Scale Monitoring of Potatoes Late Blight Using Multi-Source Time-Series Data and Google Earth Engine by Zelong Chi, Hong Chen, Sheng Chang, Zhao-Liang Li, Lingling Ma, Tongle Hu, Kaipeng Xu, Zhenjie Zhao

“…To improve the monitoring accuracy of the PLB regression model, the study used the K-Means algorithm in conjunction with morphological operations to identify potato growth areas. Input data consisted of monthly NDVI from Sentinel-2 and VH bands from Sentinel-1 (covering the year 2021). …”
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SABOTAGE AGAINST CRITICAL UNDERWATER INFRASTRUCTURE IN THE BALTIC SEA by Diana S. Timoshenko

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A corrosion risk assessment method for underground gas storage ground pipeline based on data and knowledge dual drivers by BI Caixia

“…Effective and accurate analysis of the causes of these corrosion failures is essential for ensuring the safe operation of underground gas storage facilities. …”
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THE URBAN METRO TRANSIT’S PERFORMANCE EVALUATION USING SUPER-DEA by Salman KHURSHEED, Shagufta YASMIN, Farhan Ahmad KIDWAI

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Design of an Improved Model for Gear Fault Diagnosis Using Acoustic Data and EfficientNet-Based Deep Learning Process by Bundele Shubham, Kane P.V.

“…Hence, this proposed method gives a systematic analysis of various gear conditions, including cracks, misalignment (under load and no-load conditions), broken teeth, and normal operational conditions, under varying RPM and load conditions. …”
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Assessing and forecasting the efficiency of Russian banks (2000–2026): A DEA, panel data, and Monte Carlo simulation approach by Jalal Abu-Alrop

“…This study aims to evaluate the efficiency of Russian banks, identify the factors influencing it based on their size and ownership type, and forecast future trends in the banking sector. The analysis utilized data from 680 Russian banks over the period 2000–2023, employing Data Envelopment Analysis (DEA) to measure technical efficiency, panel data analysis to determine efficiency-related variables, and Monte Carlo simulation to predict future performance for the years 2024–2026. …”
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Evaluation of ocean chlorophyll-a remote sensing algorithms using in situ fluorescence data in Southern Brazilian Coastal Waters by Gabriel Serrato de Mendonça Silva, Carlos Alberto Eiras Garcia

“…These results represent the most comprehensive satellite data analysis for this region, suggesting that the approach may be applicable to other SiMCosta buoys …”
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Evaluation of ocean chlorophyll-a remote sensing algorithms using in situ fluorescence data in Southern Brazilian Coastal Waters by Gabriel Serrato de Mendonça Silva, Carlos Alberto Eiras Garcia

“…These results represent the most comprehensive satellite data analysis for this region, suggesting that the approach may be applicable to other SiMCosta buoys …”
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Big data-driven corporate financial forecasting and decision support: a study of CNN-LSTM machine learning models by Aixiang Yang

“…The data underwent preprocessing and dimensionality reduction via Principal Component Analysis (PCA) to eliminate redundancy and noise. …”
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Online Banking Fraud Detection Model: Decentralized Machine Learning Framework to Enhance Effectiveness and Compliance with Data Privacy Regulations by Hisham AbouGrad, Lakshmi Sankuru

“…This research study explores a decentralized anomaly detection framework using deep autoencoders, designed to meet the dual imperatives of fraud detection effectiveness and user data privacy. Instead of relying on centralized aggregation or data sharing, the proposed model simulates distributed training across multiple financial nodes, with each institution processing data locally and independently. …”
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Detection and Prediction of Wind and Solar Photovoltaic Power Ramp Events Based on Data-Driven Methods: A Critical Review by Jie Zhang, Xinchun Zhu, Yigong Xie, Guo Chen, Shuangquan Liu

“…Future research should prioritize the development of adaptive, ramp-specific evaluation frameworks, the fusion of physical and data-driven modeling techniques, and the deployment of multi-modal systems capable of leveraging heterogeneous data sources for robust, actionable ramp event forecasting.…”
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Real-Time Driving State Identification and Collision Risk Detection in Dump Trucks: A GPS Streaming Data Approach by C. Xie, Y. Zheng, Y. Zhao, L. Zhang, L. Zhao, W. Wang, X. Li

“…Real-time analysis and mining of vehicle GPS data is essential for effective traffic regulation. …”
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